Richard Keiser

Title: Richard Keiser: Innovator in Pose Estimation Technology

Introduction

Richard Keiser is a notable inventor based in Zurich, Switzerland. He has made significant contributions to the field of pose estimation technology, holding three patents that showcase his innovative approach to computer vision and articulated object modeling.

Latest Patents

One of his latest patents is focused on silhouette-based pose estimation. This method involves estimating the pose of an articulated object model by obtaining a sequence of source images and corresponding segments with objects separated from the background. The process includes matching these sequences with reference silhouettes to determine the best match. For each selected sequence, a reference pose is retrieved, which is then used to compute an estimate of the pose of the articulated object model. This initial pose estimate can be utilized for maintaining local consistency between pose estimates from consecutive frames and ensuring global consistency over longer sequences.

Another patent describes a computer-implemented method for estimating the pose of an articulated object model observed by one or more source cameras. This method involves processing a source image to extract segments and comparing them to a database of reference silhouettes. By selecting reference silhouettes based on matching errors, the corresponding reference poses are retrieved, allowing for the computation of an estimate of the pose of the articulated object model.

Career Highlights

Throughout his career, Richard Keiser has worked with various companies, including Liberovision AG. His work has significantly impacted the development of technologies related to pose estimation and computer vision.

Collaborations

Richard has collaborated with notable individuals in his field, including Remo Ziegler and Marcel Germann. Their combined expertise has contributed to advancements in the technologies they have developed together.

Conclusion

Richard Keiser's innovative work in pose estimation technology has established him as a prominent figure in the field. His patents reflect a deep understanding of computer vision and its applications in real-world scenarios.